Simulation Study on Novel High Voltage Transient Voltage Suppression Diodes. - Cong Liu; MouFu Kong; Hanzhi Chen; Bo Yi; Bingke Zhang; Xingbi Chen (ASICON, 2019)

Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation. - Patrick Ruhkamp; Daoyi Gao; Hanzhi Chen; Nassir Navab; Benjamin Busam (3DV, 2021)

TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation. - Hanzhi Chen; Fabian Manhardt; Nassir Navab; Benjamin Busam (CVPR, 2023)

Anthropomorphic Grasping With Neural Object Shape Completion. - Diego Hidalgo-Carvajal; Hanzhi Chen; Gemma Carolina Bettelani; Jaesug Jung; Melissa Zavaglia; Laura Busse; Abdeldjallil Naceri; Stefan Leutenegger; Sami Haddadin (IEEE Robotics Autom. Lett., 2023)

FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object. - Hanzhi Chen; Binbin Xu 001; Stefan Leutenegger (ICRA, 2024)

Scalable Autonomous Drone Flight in the Forest with Visual-Inertial SLAM and Dense Submaps Built without LiDAR. - Sebastián Barbas Laina; Simon Boche; Sotiris Papatheodorou; Dimos Tzoumanikas; Simon Schaefer; Hanzhi Chen; Stefan Leutenegger (CoRR, 2024)

Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need. - Tingwei Chen; Yantao Wang; Hanzhi Chen; Zijian Zhao 002; Xinhao Li; Nicola Piovesan; Guangxu Zhu; Qingjiang Shi (CoRR, 2024)

An overview of domain-specific foundation model: key technologies, applications and challenges. - Haolong Chen; Hanzhi Chen; Zijian Zhao 002; Kaifeng Han; Guangxu Zhu; Yichen Zhao; Ying Du; Wei Xu 001; Qingjiang Shi (CoRR, 2024)

VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation. - Hanzhi Chen; Boyang Sun; Anran Zhang; Marc Pollefeys; Stefan Leutenegger (CVPR, 2025)

Multipath Inflation Factor for Robust GNSS/IMU/VO Fusion-Based Navigation in Urban Areas. - Yuanyuan Wang; Rui Sun 005; Lei Jiang; Hanzhi Chen; Yi Mao; Washington Yotto Ochieng (IEEE Internet Things J., 2025)

FrontierNet: Learning Visual Cues to Explore. - Boyang Sun; Hanzhi Chen; Stefan Leutenegger; Cesar Cadena 001; Marc Pollefeys; Hermann Blum (IEEE Robotics Autom. Lett., 2025)